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To cope with the need for flexibility of industrial applications, and other customer related requirements, functional control behavior is shifted from hardware to software. This leads to higher software complexity. Therefore, testing of industrial software is a key technique to ensure overall system quality. Based on an analysis of testing approaches in software engineering and requirements in industrial...
Modern automation and control systems used in industrial large-scale applications are characterized by its distributed nature in the areas of power and energy systems, manufacturing, building automation, and logistics. In order to cope with different communication needs and changing requirements in such large-scale scenarios over its life-time, the main aim of this paper is to propose a programmable...
Reusability of control code is crucial for future industrial automation in order to allow the development of high quality control systems in less time and with less cost. A key stopper for automation software reuse is the current intertwining of control logic with hardware specific code. Existing approaches that tackled such a problem could lead to improvements but will not sufficiently solve this...
Automation systems (ASs) based on Service-Oriented Architecture (SOA) are becoming more wide-spread. Due to their inherent property of separating the hardware-specific implementation from the logical work- or control-flow, SOA-based application programming is regarded as the next logical step in AS programming. Several successful attempts for implementing SOA-based AS have been made, but always with...
Traditional control application engineering techniques tend to mix logical functionality with hardware access methods. This greatly impedes reusability. Through separation of the logical control application domain and the specific hardware domain the MDA (Model-Driven Architecture) proposes a solution to this problem. In the domain of embedded systems development this approach brought a great advantage...
Multi-agent systems have proven to be a powerful technology for improving flexibility and agility in a complex manufacturing environment. In such systems, an ontology is a crucial element for knowledge representation of the external environment or the agent's domain of application as well as for ensuring interoperability between agents. The agent's decision component uses this world representation...
Complexity in the design of plants and machines is permanently increasing. The introduction of model-driven design methodologies in the field of Industrial Automation and Control Systems helps to cope with requirements like limited budget and reduced ramp-up time. Simulation is a major key to enable a concurrent development in all involved domains. This work analyzed requirements for simulation of...
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